Lead Full Stack Engineer developing generative UI capabilities for AI-driven experiences at Salesforce. Drive innovation across the enterprise ecosystem while mentoring engineering teams.
Responsibilities
Drive the AXL (Agentic Experience Layer) vision by applying AI/ML and platform engineering expertise to enable scalable, production-grade generative UI capabilities across Salesforce.
Lead the design and delivery of complex, highly ambiguous features, owning architecture, execution, and quality across one or more Scrum teams.
Define and evolve core platform services and orchestration frameworks for AI-driven UI composition, ensuring reliability, performance, and extensibility.
Serve as a technical authority and go-to expert for functional behavior, system performance, and end-to-end experience quality within your product area.
Partner closely with Product, UX, and senior engineering leaders to translate business and user needs into robust technical solutions.
Collaborate across teams, orgs, and geographies to drive alignment, unblock execution, and ensure seamless integration across platform layers.
Champion engineering excellence through design reviews, code reviews, test strategies, and quality metrics (testability, coverage, health).
Own production quality and operational excellence, including troubleshooting critical issues, participating in on-call rotations, and preventing repeat incidents through systemic improvements.
Act as a customer advocate, prioritizing real-world usage, critical user journeys, and high-impact customer investigations.
Mentor and raise the technical bar across the team, contributing to hiring, onboarding, and the development of a strong, inclusive engineering culture.
Requirements
8+ years of professional experience developing and shipping large-scale enterprise applications.
Deep expertise across the full stack, including modern JavaScript/TypeScript frameworks (e.g., LWC, React) and designing/implementing scalable distributed services (e.g., Java, Node.js).
Proven track record designing and maintaining large-scale, fault-tolerant distributed systems and RESTful or streaming APIs.
Experience or strong interest in Generative AI, Large Language Models (LLMs), or integrating AI capabilities into product user flows (e.g., prompt engineering, vector databases, search/retrieval).
Strong command of software development best practices, including design patterns, observability, performance tuning, and robust testing strategies (unit, integration, end-to-end).
Experience mentoring junior engineers, driving code quality standards, and leading complex cross-functional projects.
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